Optoelectronic system and device integration for quantum-dot light-emitting diode white lighting with computational design framework

Abstract

We propose a computational design framework to design the architecture of a white lighting system having multiple pixelated patterns of electric-field-driven quantum dot light-emitting diodes. The quantum dot of the white lighting system has been optimised by a system-level combinatorial colour optimisation process with the Nelder-Mead algorithm used for machine learning. The layout of quantum dot patterns is designed precisely using rigorous device-level charge transport simulation with an electric-field dependent charge injection model. A theoretical maximum of 97% colour rendering index has been achieved with red, green, cyan, and blue quantum dot light-emitting diodes as primary colours. The white lighting system has been fabricated using the transfer printing technique to validate the computational design framework. It exhibits excellent lighting performance of 92% colour rendering index and wide colour temperature variation from 1612 K to 8903 K with only the four pixelated quantum dots as primary.

High recorded color rendering performance of single-structured Ce,Mn:Y 3(Al,Sc) 2Al 3O 12 phosphor ceramics for high-power white LEDs/LDs

“…The fourth-generation solid-state lighting source (LEDs/LDs) has become the most promising lighting technology for its high efficiency, good stability, long working life, environmental protection and other advantages compared to traditional lighting structure [1][2][3][4][5]. Nowadays, the mainstream technical solution for white light generation is to combine blue LED/LD with phosphor conversion materials, and this new conversion materials mainly include phosphor ceramics (PCs), single crystals (SCs) and phosphor-in-glass (PIG) [6][7][8][9][10].…”

“…Ce:YAG PCs are considered to be the potential conversion materials. Nevertheless, white LED/LDs structured by traditional Ce:YAG PCs still suffer from a low color rendering index (CRI＜60) and highly correlated color temperature (CCT＞7500 K) due to the lack of spectral components both in red and cyan areas [1,[14][15][16][17][18][19]. Many optimized PCs usually have the problem of luminous declining under high power density excitation.…”